<p>We are looking for a Databricks Developer/Engineer to join a Contract opportunity in Mississauga, Ontario within the drink and beverages industry. This position will support the design and delivery of scalable data pipelines, helping move operational and forecasting information into a modern cloud-based environment. The ideal candidate brings strong end-to-end data engineering experience, with a focus on Azure-based ingestion, Databricks development, and reliable data integration across enterprise platforms. This is a 3 month contract to start looking for an individual available to start working immediately.</p><p><br></p><p>Responsibilities:</p><p>• Build and maintain data pipelines in Databricks to process, transform, and organize business-critical data for downstream use.</p><p>• Develop Azure-based ingestion workflows that bring source data into the data lake accurately and efficiently.</p><p>• Analyze source data structures and map them to target models to support consistent and dependable data loading.</p><p>• Enable the movement of operational shipment and loading data into cloud storage environments for reporting and analytics.</p><p>• Support the integration of forecast data back into Databricks so teams can access timely and usable information.</p><p>• Collaborate with internal stakeholders to ensure data is ingested correctly into Hyperion and aligned with business requirements.</p><p>• Contribute to end-to-end engineering activities, from initial data assessment through implementation, validation, and optimization.</p><p>• Assist with reporting and analytical needs by preparing datasets that can be leveraged in tools such as Power BI when required.</p>

<p>• Proven experience developing solutions in Databricks within a data engineering environment.</p><p>• Hands-on expertise with Azure-based data ingestion and cloud data platform services.</p><p>•Strong experience with SQL development </p><p>•Experience working with Power BI</p><p>• Strong understanding of data structures, transformation logic, and best practices for enterprise data integration.</p><p>• Experience working across the full data pipeline lifecycle, including ingestion, processing, validation, and delivery.</p><p>• Familiarity with Hyperion-related data loading concepts and integration considerations.</p><p>• Knowledge of big data and cloud technologies such as Apache Spark, Apache Kafka, Hadoop, Hive, or AWS services.</p><p>• Exposure to data visualization practices and tools, with Power BI considered an asset.</p><p>• Ability to work effectively in a fast-paced project setting while managing evolving technical requirements.</p><p><br></p><p>Our specialized recruiting professionals apply their expertise and utilize our proprietary AI to find you great job matters </p>

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